Widen the Applicability of a Convolutional Neural-Network-Assisted Glaucoma Detection Algorithm of Limited Training Images across Different Datasets

Automated glaucoma detection using deep learning may increase the diagnostic rate of glaucoma to prevent blindness, but generalizable models are currently unavailable despite the use of huge training datasets. This study aims to evaluate the performance of a convolutional neural network (CNN) classi...

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Detalles Bibliográficos
Autores principales: Ko, Yu-Chieh, Chen, Wei-Shiang, Chen, Hung-Hsun, Hsu, Tsui-Kang, Chen, Ying-Chi, Liu, Catherine Jui-Ling, Lu, Henry Horng-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219722/
https://www.ncbi.nlm.nih.gov/pubmed/35740336
http://dx.doi.org/10.3390/biomedicines10061314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219722/
https://www.ncbi.nlm.nih.gov/pubmed/35740336
http://dx.doi.org/10.3390/biomedicines10061314

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